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Data base user interface and query software

Technology category · O*NET

Data base user interface and query software is a technology category in the O*NET database. Across U.S. occupations, 632 report using software or tools in this category. The named products below are the specific examples O*NET records for those jobs. The occupations that use it sit, on average, at the 56th percentile of AI task-exposure ( moderate) — how much that work overlaps with what AI can do, not a sign the tool is being replaced. See where every tool category sits.

A Hot tag marks technologies O*NET sees frequently in employer job postings; In demand marks tools an occupation specifically requires.

Example software & tools

Ranked by how many occupations list each product. Each number is an occupation count — a job is counted once per product — so the product rows overlap and do not sum to the category total.

Software / tool Occupations Tags
Microsoft Access 372 Hot In demand
Database software 166
Structured query language SQL 151 Hot In demand
FileMaker Pro 95
Oracle Database 83 Hot In demand
Microsoft SQL Server 81 Hot In demand
Amazon Web Services AWS software 52 Hot In demand
Blackboard software 50
Yardi software 32 Hot In demand
Amazon Redshift 27 Hot In demand
Data entry software 27
Amazon Elastic Compute Cloud EC2 25 Hot
Airtable 24
Structure query language SQL 21
MySQL 20 Hot In demand
ServiceNow 18 Hot In demand
Transact-SQL 18 Hot
Oracle JDBC 18
IBM DB2 13 Hot
Operational databases 12
Recordkeeping software 12
National Crime Information Center (NCIC) database 11
Relational database software 10
Online databases 8
Sage 300 Construction and Real Estate 8
Student information systems SIS software 8 In demand
Apache Hive 7 Hot
Data logging software 7
Operational Data Store ODS software 7 In demand
dBASE 7
Integrated Automated Fingerprint Identification System IAFIS 6
Law enforcement information databases 6
Xactware Xactimate 6 In demand
Database management software 5
Insight Direct ServiceCEO 5
National Integrated Ballistics Information Network NIBIN 5
Prometheus 4 Hot In demand
PyTorch 4 Hot In demand
AS/400 Database 4
Aya Associates Comp-U-Floor 4

Showing the top 40 of 910 products in this category.

Occupations that use Data base user interface and query software

Showing 40 of 632 occupations.

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 36 occupations in occupations that use Data base user interface and query software. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Agricultural Equipment Operators Animal Trainers Aircraft Mechanics and Service Technicians Anesthesiologist Assistants Animal Breeders Administrative Services Managers Airline Pilots, Copilots, and Flight Engineers Agricultural Technicians Animal Caretakers Acute Care Nurses Adapted Physical Education Specialists Airfield Operations Specialists Aerospace Engineering and Operations Technologists and Technicians Agricultural Engineers Anthropologists and Archeologists Administrative Law Judges, Adjudicators, and Hearing Officers Architectural and Engineering Managers Archivists Aerospace Engineers AI task-overlap percentile → ↑ Median pay
Occupations that use Data base user interface and query software, by AI task-overlap and median pay

How AI is used by roles that use Data base user interface and query software

A software category is not itself "being automated" — but we can look at the roles that report using Data base user interface and query software and ask how those people actually use AI. This rolls the Anthropic Economic Index per-role signal up across those roles, weighted by how much observed AI activity each one has. 60.8% of the 632 roles that use this category carry observed AI-usage data (384 roles).

Across those roles, 59.0% of AI conversations are people working with AI and 35.2% hand a task to AI , with an average autonomy of 3.65 / 5.

Collaboration pattern Share What it means
task iteration 33.2% you and AI go back and forth
directive 32.3% AI does it; you give the instruction
learning 18.0% you ask AI to explain or teach
validation 7.8% you do it; AI checks your work
feedback loop 3.0% AI does it, then adjusts from your feedback

Roles behind this signal

The roles using this category that have the most AEI data. "Works with AI" is the role's share of conversations that augment rather than automate.

Occupation Works with AI Autonomy
English Language and Literature Teachers, Postsecondary 63.2% 4.0/5
Biological Science Teachers, Postsecondary 63.2% 4.0/5
Editors 68.2% 4.0/5
Foreign Language and Literature Teachers, Postsecondary 65.2% 3.0/5
Educational, Guidance, School, and Vocational Counselors 70.6% 4.0/5
Technical Writers 54.2% 4.0/5
Office Clerks, General 36.5% 3.0/5
Recreation and Fitness Studies Teachers, Postsecondary 66.2% 3.3/5
Philosophy and Religion Teachers, Postsecondary 66.8% 3.3/5
Education Teachers, Postsecondary 65.3% 3.5/5
Instructional Coordinators 53.1% 4.0/5
Economics Teachers, Postsecondary 65.7% 3.3/5

Source: Anthropic Economic Index (2026-01-15-v4-plus-2025-03-27-v2) over a sample of Claude.ai Free and Pro conversations — not all AI tools and not the whole workforce. Roles list software categories in O*NET; this does not mean AI is used inside Data base user interface and query software, only that people in those roles use AI. Some conversations are left unclassified, so shares need not sum to 100.

Industries that concentrate this

Where Data base user interface and query software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Data base user interface and query software (O*NET importance ≥ 3 of 5, or report using the tool category). Concentration compares that reach to the national average industry, so a value above 1× means the requirement is more pervasive here than across the economy as a whole.

Nationally, about 73.9% of workers are in occupations that significantly use Data base user interface and query software (measured across 67 industries).

Sectors with the most such workers

Sector Workers Employment reach
Retail Trade 14,105,510 90.5%
Health Care and Social Assistance 13,964,960 60.4%
Professional, Scientific, and Technical Services 10,029,510 93.1%
Accommodation and Food Services 9,580,130 67.3%
Educational Services 9,492,730 69.6%
Manufacturing 7,790,510 61.0%
Finance and Insurance 6,107,750 98.1%
Transportation and Warehousing 5,827,300 78.8%
Construction 5,274,550 64.9%
Wholesale Trade 5,170,810 85.7%
Administrative and Support and Waste Management and Remediation Services 5,054,380 56.0%
Other Services (except Public Administration) 3,624,900 81.9%

Industries where it is most concentrated

Industry Level Concentration Employment reach
Insurance Agencies and Brokerages National industry 1.34× 99.2%
Pharmacies and Drug Retailers National industry 1.34× 99.0%
Veterinary Services National industry 1.34× 98.8%
Finance and Insurance Sector 1.33× 98.1%
Direct Health and Medical Insurance Carriers National industry 1.32× 97.8%
Labor Unions and Similar Labor Organizations National industry 1.32× 97.8%
Wind Electric Power Generation National industry 1.3× 96.0%
Sporting Goods Retailers National industry 1.27× 94.0%
Newspaper Publishers National industry 1.27× 93.8%
Professional, Scientific, and Technical Services Sector 1.26× 93.1%
Management of Companies and Enterprises Sector 1.26× 93.0%
Engineering Services National industry 1.26× 93.1%

Reach is a measure of how widespread a requirement is across an industry's workforce, not how intensively any individual uses it. Sector worker counts come from BLS OEWS employment; the significance threshold and tool use come from O*NET. Industries shown by concentration are filtered to a real worker base so a tiny specialty cannot top the list on rounding.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 3, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Data base user interface and query software." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/tools/data-base-user-interface-and-query-software

APA

Singulariki. (2026). Data base user interface and query software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/data-base-user-interface-and-query-software

BibTeX
@misc{singulariki-data-base-user-interface-and-query-software,
  title  = {Data base user interface and query software},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/tools/data-base-user-interface-and-query-software}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.